Advancing Human knowledge through stochastic epistemology

Pioneering scientific discovery for tomorrow

Unsuspicious Industries operates at the convergence of theoretical computer science, machine learning, and complex systems. Our research spans from λ-calculus and interaction combinators to Large Language Models and molecular dynamics. We pursue fundamental questions in type systems, proof synthesis and the computational limits of knowability. We also want to solve Economics, formalize Everything and find Beauty.

Research Excellence

Research Divisions

Multidisciplinary Curiosity

Six core research areas that define our institutional mission and scholarly contributions

Dynamic Formal Systems

Investigating interaction combinators, optimal reduction strategies, and System F type theory. Current research focused on guided program and proof synthesis through a lot of typing.

philosophy courses should teach how to use proof assistants
Alcuin𝕏, @scheminglunatic

Axiomatic Elaboration Laboratory

Finding good and beautiful bases for rational thinking. Often abroad, we explore all paces in this world to find beauty and coherence ouside of rationality. Grounding technology in vibes.

Ethics and æsthetics are one
L. Wittgenstein6.421

Artificial Intelligence Research

Training transformer architectures with formal constraints. Exploring the intersection of probabilistic reasoning and symbolic AI through type-theoretic frameworks and proof-carrying code generation.

To build machines that think,
we must first build machines that compute what cannot be thought.
PKDThoughts on thinking

Macroeconomics Formalisation Department

Rewritting advanced economics research using the tools provided by both High Performance Computing and the Dynamic Formal Systems lab. Working on the emergence of market and social trends from first principles simulations. Formalising structural social shifts in topological spaces.

In the long run we are all dead.
J.M. KeynesA Tract on Monetary Reform (1923)

Computational Biology Division

Trying to understand the nature of consciousness with a pluridisciplinary approach and loads of compute. The happy fly™ project: virtualizing 10e16 Drosophila neurons using distributed interaction net architectures.

I think I might have been stupid in some respects,
if it weren’t for my psychedelic experiences.
Kary MullisMAPS

LSH research division

The "Lettres et Sciences Humaines" division explores beauty, art and philosophy towards a deeper understanding of humanity's ever-lasting quest of the divine. Thinking hard and slowly.

Kant et la monade de l’aporie : une poésie de l’impératif
P.M. PédrotLSH Generator™ 3000®

Unsuspicious research stats

Academic impact

Working overtime on edge research

25+
Active Research Projects
5+
Research Centers
95%
Peer Review Acceptance Rate
5000+
Cups of Coffee

Research Opportunities

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